{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:46:00Z","timestamp":1760384760628,"version":"3.33.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2007,8,10]],"date-time":"2007-08-10T00:00:00Z","timestamp":1186704000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Heuristics"],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1007\/s10732-007-9036-0","type":"journal-article","created":{"date-parts":[[2007,8,9]],"date-time":"2007-08-09T16:41:23Z","timestamp":1186677683000},"page":"285-310","source":"Crossref","is-referenced-by-count":11,"title":["Construction of classifier ensembles by means of\u00a0artificial immune systems"],"prefix":"10.1007","volume":"14","author":[{"given":"Nicol\u00e1s","family":"Garc\u00eda-Pedrajas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Colin","family":"Fyfe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2007,8,10]]},"reference":[{"key":"9036_CR1","volume-title":"Categorical Data Analysis","author":"A. Agresti","year":"1990","unstructured":"Agresti, A.: Categorical Data Analysis. Wiley, New York (1990)"},{"key":"9036_CR2","series-title":"Wiley Series in Probability and Mathematical Statistics","volume-title":"An Introduction to Multivariate Statistical Analysis","author":"T.W. Anderson","year":"1984","unstructured":"Anderson, T.W.: An Introduction to Multivariate Statistical Analysis, 2nd edn. Wiley Series in Probability and Mathematical Statistics. Wiley, New York (1984)","edition":"2"},{"issue":"1\/2","key":"9036_CR3","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1023\/A:1007515423169","volume":"36","author":"E. Bauer","year":"1999","unstructured":"Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach. Learn. 36(1\/2), 105\u2013142 (1999)","journal-title":"Mach. Learn."},{"issue":"2","key":"9036_CR4","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996a)","journal-title":"Mach. Learn."},{"issue":"1","key":"9036_CR5","first-page":"49","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Stacked regressions. Mach. Learn. 24(1), 49\u201364 (1996b)","journal-title":"Mach. Learn."},{"key":"9036_CR6","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1214\/aos\/1024691079","volume":"26","author":"L. Breiman","year":"1998","unstructured":"Breiman, L.: Arcing classifiers. Ann. Stat. 26, 801\u2013824 (1998)","journal-title":"Ann. Stat."},{"issue":"1","key":"9036_CR7","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1136\/jamia.2000.0070028","volume":"7","author":"J.H. Carter","year":"2000","unstructured":"Carter, J.H.: The immune system as a model for pattern recognition and classification. J. Am. Med. Inform. Assoc. 7(1), 28\u201341 (2000)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"9036_CR8","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/11536444_36","volume-title":"Proceedings of the Fourth International Conference on Artificial Immune Systems (ICARIS\u20192005)","author":"P. Castro","year":"2005","unstructured":"Castro, P., Coelho, G., Caetano, M., von\u00a0Zuben, F.: Designing ensembles of fuzzy classification systems: an immune approach. In: Jacob, C. (ed.) Proceedings of the Fourth International Conference on Artificial Immune Systems (ICARIS\u20192005), pp. 469\u2013482. Springer, Calgary (2005)"},{"key":"9036_CR9","volume-title":"Artificial Immune Systems and their Applications","author":"D. Dasgupta","year":"2000","unstructured":"Dasgupta, D.: Artificial Immune Systems and their Applications. Springer, Berlin (2000)"},{"key":"9036_CR10","volume-title":"Artificial Immune Systems: A New Computational Intelligence Approach","author":"L.N. Castro de","year":"2002","unstructured":"de Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, London (2002)"},{"key":"9036_CR11","unstructured":"de Castro, L.N., von\u00a0Zuben, F.J.: Artificial immune systems: Part ii\u2014a survey of applications. Technical Report TR\u2013DCA 02\/00, Department of Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas (1991)"},{"key":"9036_CR12","unstructured":"de Castro, L.N., von\u00a0Zuben, F.J.: Artificial immune systems: Part i\u2014basic theory and applications. Technical Report TR\u2013DCA 01\/99, Department of Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas (1999)"},{"key":"9036_CR13","doi-asserted-by":"crossref","unstructured":"de Castro, L.N., von\u00a0Zuben, F.J.: An evolutionary immune network for data clustering. In: Proceedings of the IEEE Brazilian Symposium on Artificial Neural Networks, pp. 84\u201389 (2000)","DOI":"10.1109\/SBRN.2000.889718"},{"issue":"7","key":"9036_CR14","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1162\/089976698300017197","volume":"10","author":"T.G. Dietterich","year":"1998","unstructured":"Dietterich, T.G.: Approximate statistical tests for comparing supervised classification learning algorithms. Neural Comput. 10(7), 1895\u20131923 (1998)","journal-title":"Neural Comput."},{"key":"9036_CR15","first-page":"1","volume-title":"Lecture Notes in Computer Science","author":"T.G. Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Lecture Notes in Computer Science, vol. 1857, pp. 1\u201315. Springer, Berlin (2000a)"},{"key":"9036_CR16","first-page":"1","volume-title":"Proceedings of the First International Workshop on Multiple Classifier Systems","author":"T.G. Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) Proceedings of the First International Workshop on Multiple Classifier Systems, pp. 1\u201315. Springer, Berlin (2000b)"},{"key":"9036_CR17","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1007607513941","volume":"40","author":"T.G. Dietterich","year":"2000","unstructured":"Dietterich, T.G.: An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Mach. Learn. 40, 139\u2013157 (2000c)","journal-title":"Mach. Learn."},{"key":"9036_CR18","first-page":"180","volume-title":"Proceedings of the 13th Annual Conference on Computational Learning Theory","author":"C. Domingo","year":"2000","unstructured":"Domingo, C., Watanabe, O.: MadaBoost: a modification of AdaBoost. In: Proceedings of the 13th Annual Conference on Computational Learning Theory, pp. 180\u2013189. Morgan Kaufmann, San Francisco (2000)"},{"key":"9036_CR19","first-page":"51","volume-title":"Combining Artificial Neural Nets","author":"H. Drucker","year":"1999","unstructured":"Drucker, H.: Boosting using neural networks. In: Sharkey, A.J.C. (ed.) Combining Artificial Neural Nets, pp. 51\u201378. Springer, London (1999)"},{"key":"9036_CR20","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","volume":"54","author":"S. Dzeroski","year":"2004","unstructured":"Dzeroski, S., Zenko, B.: Is combining classifiers with stacking better than selecting the best one? Mach. Learn. 54, 255\u2013273 (2004)","journal-title":"Mach. Learn."},{"key":"9036_CR21","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1023\/A:1025619426553","volume":"53","author":"A. Fern","year":"2003","unstructured":"Fern, A., Givan, R.: Online ensemble learning: an empirical study. Mach. Learn. 53, 71\u2013109 (2003)","journal-title":"Mach. Learn."},{"key":"9036_CR22","unstructured":"Freund, Y., Schapire, R.: Experiments with a new boosting algorithm. In: Proceedings of the Thirteenth International Conference on Machine Learning, pp.\u00a0148\u2013156, Bari, Italy (1996)"},{"issue":"2","key":"9036_CR23","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1214\/aos\/1016218223","volume":"28","author":"J. Friedman","year":"2000","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Additive logistic regression: a statistical view of boosting. Ann. Stat. 28(2), 337\u2013407 (2000)","journal-title":"Ann. Stat."},{"issue":"3","key":"9036_CR24","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1109\/TEVC.2005.844158","volume":"9","author":"N. Garc\u00eda-Pedrajas","year":"2005","unstructured":"Garc\u00eda-Pedrajas, N., Herv\u00e1s-Mart\u00ednez, C., Ortiz-Boyer, D.: Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evol. Comput. 9(3), 271\u2013302 (2005)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9036_CR25","first-page":"1","volume":"8","author":"N. Garc\u00eda-Pedrajas","year":"2007","unstructured":"Garc\u00eda-Pedrajas, N., Garc\u00eda-Osorion, Fyfe, C.: Nonlinear boosting projections for ensemble construction. J. Mach. Learn. Res. 8, 1\u201333 (2007)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"9036_CR26","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1162\/1063656054088512","volume":"13","author":"S.M. Garret","year":"2005","unstructured":"Garret, S.M.: How do we evaluate artificial immune systems? Evol. Comput. 13(2), 145\u2013178 (2005)","journal-title":"Evol. Comput."},{"key":"9036_CR27","doi-asserted-by":"crossref","unstructured":"Hall, L., Bowyer, K., Banfield, R., Bhadoria, D., Kegelmeyer, W., Eschrich, S.: Comparing pure parallel ensemble creation techniques against bagging. In: Third IEEE International Conference on Data Mining, Melbourne, FL, USA (2003)","DOI":"10.1109\/ICDM.2003.1250970"},{"key":"9036_CR28","volume-title":"Neural Networks\u2014A Comprehensive Foundation","author":"S. Haykin","year":"1999","unstructured":"Haykin, S.: Neural Networks\u2014A Comprehensive Foundation, 2nd edn. Prentice\u2013Hall, Upper Saddle River (1999)","edition":"2"},{"key":"9036_CR29","unstructured":"Hettich, S., Blake, C., Merz, C.: UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html (1998)"},{"key":"9036_CR30","first-page":"313","volume-title":"Artificial Life II","author":"W.D. Hillis","year":"1991","unstructured":"Hillis, W.D.: Co-evolving parasites improves simulated evolution as an optimization technique. In: Langton, C.G., Taylor, C., Farmer, J.D., Rasmussen, S. (eds.) Artificial Life II, pp. 313\u2013384. Addison\u2013Wesley, Reading (1991)"},{"issue":"8","key":"9036_CR31","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"T.K. Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 832\u2013844 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9036_CR32","first-page":"373","volume":"125C","author":"K.N. Jerne","year":"1974","unstructured":"Jerne, K.N.: Towards a network theory of the immune system. Ann. Immun. 125C, 373\u2013389 (1974)","journal-title":"Ann. Immun."},{"key":"9036_CR33","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-1904-8","volume-title":"Principal Components Analysis","author":"I.T. Jolliffe","year":"1986","unstructured":"Jolliffe, I.T.: Principal Components Analysis. Springer, New York (1986)"},{"key":"9036_CR34","unstructured":"Juill\u00e9, H.: Methods for statistical inference: extending the evolutionary computation paradigm. PhD thesis, Brandeis University (1999)"},{"issue":"5","key":"9036_CR35","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1109\/34.857004","volume":"22","author":"E. Kleinberg","year":"2000","unstructured":"Kleinberg, E.: On the algorithmic implementation of stochastic discrimination. IEEE Trans. Pattern Anal. Mach. Intell. 22(5), 473\u2013490 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9036_CR36","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1142\/9789812386533_0015","volume-title":"Pattern Recognition: From Classical to Modern Approaches","author":"L.I. Kuncheva","year":"2001","unstructured":"Kuncheva, L.I.: Combining classifiers: soft computing solutions. In: Pal, S.K., Pal, A. (eds.) Pattern Recognition: From Classical to Modern Approaches, pp. 427\u2013451. World Scientific, Singapore (2001)"},{"key":"9036_CR37","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/3-540-49430-8_2","volume-title":"Neural Networks: Tricks of the Trade","author":"Y. LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Orr, G.B., M\u00fcller, K.-R.: Efficient backprop. In: Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade, pp. 9\u201350. Springer, Berlin (1998)"},{"issue":"4","key":"9036_CR38","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1109\/4235.887237","volume":"4","author":"Y. Liu","year":"2000","unstructured":"Liu, Y., Yao, X., Higuchi, T.: Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 4(4), 380\u2013387 (2000)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9036_CR39","unstructured":"Liu, Y., Yao, X., Zhao, Q., Higuchi, T.: Evolving a cooperative population of neural networks by minimizing mutual information. In: Proceedings of the 2001 IEEE Congress on Evolutionary Computation, pp.\u00a0384\u2013389, Seoul, Korea (2001)"},{"key":"9036_CR40","first-page":"211","volume-title":"Proceedings of the Fourteenth International Conference on Machine Learning","author":"D.D. Margineantu","year":"1997","unstructured":"Margineantu, D.D., Dietterich, T.G.: Pruning adaptive boosting. In: Fisher, D.H. (ed.) Proceedings of the Fourteenth International Conference on Machine Learning, pp. 211\u2013218, San Francisco, CA, USA. Morgan Kaufmann, San Francisco (1997)"},{"key":"9036_CR41","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.inffus.2004.04.001","volume":"6","author":"P. Melville","year":"2005","unstructured":"Melville, P., Mooney, R.J.: Creating diversity in ensembles using artificial data. Inform. Fusion 6, 99\u2013111 (2005)","journal-title":"Inform. Fusion"},{"issue":"1","key":"9036_CR42","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1023\/A:1007559205422","volume":"36","author":"C.J. Merz","year":"1999","unstructured":"Merz, C.J.: Using correspondence analysis to combine classifiers. Mach. Learn. 36(1), 33\u201358 (1999)","journal-title":"Mach. Learn."},{"key":"9036_CR43","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-07418-3","volume-title":"Genetic Algorithms + Data Structures = Evolution Programs","author":"Z. Michalewicz","year":"1994","unstructured":"Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer, New York (1994)"},{"key":"9036_CR44","unstructured":"Moriarty, D.E.: Symbiotic evolution of neural networks in sequential decision tasks. PhD thesis, University of Texas at Austin. Report AI97-257 (1997)"},{"key":"9036_CR45","doi-asserted-by":"crossref","unstructured":"Munro, R., Ler, D., Patrick, J.: Meta-learning orthographic and contextual models for language independent named entity recognition. In: Proceedings of the Seventh Conference on Natural Language Learning (2003)","DOI":"10.3115\/1119176.1119207"},{"key":"9036_CR46","first-page":"169","volume":"11","author":"D. Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Art. Intell. Res. 11, 169\u2013198 (1999)","journal-title":"J. Art. Intell. Res."},{"key":"9036_CR47","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1162\/artl.1995.2.4.355","volume":"2","author":"J. Paredis","year":"1995","unstructured":"Paredis, J.: Coevolutionary computation. Artif. Life 2, 355\u2013375 (1995)","journal-title":"Artif. Life"},{"key":"9036_CR48","first-page":"126","volume-title":"Neural Networks for Speech and Image Processing","author":"M.P. Perrone","year":"1993","unstructured":"Perrone, M.P., Cooper, L.N.: When networks disagree: ensemble methods for hybrid neural networks. In: Mammone, R.J. (ed.) Neural Networks for Speech and Image Processing, pp. 126\u2013142. Chapman & Hall, London (1993)"},{"issue":"1","key":"9036_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1997.5.1.1","volume":"5","author":"C.D. Rosin","year":"1997","unstructured":"Rosin, C.D., Belew, R.K.: New methods for competitive coevolution. Evol. Comput. 5(1), 1\u201329 (1997)","journal-title":"Evol. Comput."},{"key":"9036_CR50","doi-asserted-by":"crossref","first-page":"318","DOI":"10.7551\/mitpress\/5236.001.0001","volume-title":"Parallel Distributed Processing","author":"D. Rumelhart","year":"1986","unstructured":"Rumelhart, D., Hinton, G., Williams, R.J.: Learning internal representations by error propagation. In: Rumelhart, D., McClelland, J. (eds.) Parallel Distributed Processing, pp. 318\u2013362. MIT Press, Cambridge (1986)"},{"key":"9036_CR51","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"R.E. Schapire","year":"2000","unstructured":"Schapire, R.E., Singer, Y.: Boostexter: a boosting-based system for text categorization. Mach. Learn. 39, 135\u2013168 (2000)","journal-title":"Mach. Learn."},{"key":"9036_CR52","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/095400996116785","volume":"8","author":"A.J.C. Sharkey","year":"1996","unstructured":"Sharkey, A.J.C.: On combining artificial neural nets. Connect. Sci. 8, 299\u2013313 (1996)","journal-title":"Connect. Sci."},{"key":"9036_CR53","doi-asserted-by":"crossref","unstructured":"Skurichina, M., Duin, R.P.W.: Bagging and the random subspace method for redundant feature spaces. In: Kittler, J., Poli, R. (eds.) Proceedings of the Second International Workshop on Multiple Classifier Systems MCS 2001, pp. 1\u201310, Cambridge, UK (2001)","DOI":"10.1007\/3-540-48219-9_1"},{"key":"9036_CR54","unstructured":"Timmis, J., Neal, M.: Investigating the evolution and stability of a resource limited artificial immune system. In: Proceedings of the Genetic and Evolutionary Computation Conference, Workshop on Artificial Immune Systems and Their Applications, pp. 40\u201341 (2000)"},{"issue":"2","key":"9036_CR55","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1111\/1467-8640.00219","volume":"19","author":"K.M. Ting","year":"2003","unstructured":"Ting, K.M., Zheng, Z.: A study of adaboost with naive Bayesian classifiers: weakness and improvement. Comput. Intell. 19(2), 186\u2013200 (2003)","journal-title":"Comput. Intell."},{"key":"9036_CR56","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1023\/A:1021709817809","volume":"50","author":"L. Todorovski","year":"2003","unstructured":"Todorovski, L., Dzeroski, S.: Combining classifiers with meta decision trees. Mach. Learn. 50, 223\u2013249 (2003)","journal-title":"Mach. Learn."},{"key":"9036_CR57","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1999","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1999)"},{"issue":"2","key":"9036_CR58","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1023\/A:1007659514849","volume":"40","author":"G.I. Webb","year":"2000","unstructured":"Webb, G.I.: Multiboosting: a technique for combining boosting and wagging. Mach. Learn. 40(2), 159\u2013196 (2000)","journal-title":"Mach. Learn."},{"issue":"3","key":"9036_CR59","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/72.572107","volume":"8","author":"X. Yao","year":"1997","unstructured":"Yao, X., Liu, Y.: A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Netw. 8(3), 694\u2013713 (1997)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"9036_CR60","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1109\/3477.678637","volume":"28","author":"X. Yao","year":"1998","unstructured":"Yao, X., Liu, Y.: Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man Cybern. Part B Cybern. 28(3), 417\u2013425 (1998)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"9036_CR61","series-title":"LNAI","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1007\/3-540-44795-4_49","volume-title":"12th European Conference on Machine Learning (ECML 2001)","author":"G. Zenobi","year":"2001","unstructured":"Zenobi, G., Cunningham, P.: Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error. In: de Raedt, L., Flach, P. (eds.) 12th European Conference on Machine Learning (ECML 2001). LNAI, vol.\u00a02167, pp. 576\u2013587. Springer, Berlin (2001)"},{"key":"9036_CR62","first-page":"325","volume-title":"Proceedings of EvoWorkshops","author":"X. Zhang","year":"2005","unstructured":"Zhang, X., Wang, S., Shan, T., Jiao, L.: Selective SVMs ensemble driven by immune clonal algorithm. In: Rothlauf, F. (ed.) Proceedings of EvoWorkshops, pp. 325\u2013333. Springer, Berlin (2005)"},{"issue":"1\u20132","key":"9036_CR63","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0004-3702(02)00190-X","volume":"137","author":"Z.-H. Zhou","year":"2002","unstructured":"Zhou, Z.-H., Wu, J., Tang, W.: Ensembling neural networks: many could be better than all. Artif. Intell. 137(1\u20132), 239\u2013253 (2002)","journal-title":"Artif. Intell."}],"container-title":["Journal of Heuristics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10732-007-9036-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10732-007-9036-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10732-007-9036-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T06:51:56Z","timestamp":1737355916000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10732-007-9036-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,8,10]]},"references-count":63,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2008,6]]}},"alternative-id":["9036"],"URL":"https:\/\/doi.org\/10.1007\/s10732-007-9036-0","relation":{},"ISSN":["1381-1231","1572-9397"],"issn-type":[{"type":"print","value":"1381-1231"},{"type":"electronic","value":"1572-9397"}],"subject":[],"published":{"date-parts":[[2007,8,10]]}}}